Abstract
Grain amaranths tolerate stress and produce highly nutritious seeds. We have identified several (a)biotic stress-responsive genes of unknown function in Amaranthus hypochondriacus, including the so-called Ah24 gene. Ah24 was expressed in young or developing tissues; it was also strongly induced by mechanical damage, insect herbivory and methyl jasmonate and in meristems and newly emerging leaves of severely defoliated plants. Interestingly, an in silico analysis of its 1304 bp promoter region showed a predominance of regulatory boxes involved in development, but not in defense. The Ah24 cDNA encodes a predicted cytosolic protein of 164 amino acids, the localization of which was confirmed by confocal microscopy. Additional in silico analysis identified several other Ah24 homologs, present almost exclusively in plants belonging to the Caryophyllales. The possible function of this gene in planta was examined in transgenic Ah24 overexpressing Arabidopsis thaliana and Nicotiana tabacum plants. Transformed Arabidopsis showed enhanced vegetative growth and increased leaf number with no penalty in one fitness component, such as seed yield, in experimental conditions. Transgenic tobacco plants, which grew and reproduced normally, had increased insect herbivory resistance. Modified vegetative growth in transgenic Arabidopsis coincided with significant changes in the expression of genes controlling phytohormone synthesis or signaling, whereas increased resistance to insect herbivory in transgenic tobacco coincided with higher jasmonic acid and proteinase inhibitor activity levels, plus the accumulation of nicotine and several other putative defense-related metabolites. It is proposed that the primary role of the Ah24 gene in A. hypochondriacus is to contribute to a rapid recovery post-wounding or defoliation, although its participation in defense against insect herbivory is also plausible.
Keywords: (a)biotic stress, defoliation, development, grain amaranth, jasmonic acid, taxonomically restricted genes
Introduction
Grain amaranths are C4 dicotyledonous plants that belong to the Amaranhaceae family and the Caryophyllales order, which groups several plant species with interesting physiological and agronomical characteristics (Stallknecht and Schulz-Schaeffer, 1993; Brenner et al., 2000). Grain amaranths, namely Amaranthus hypochondriacus, A. cruentus, and A. caudatus represent part of the approximately 60 Amaranthus species, that also include pernicious weeds or plants used as vegetables, ornamentals or fodder (Brenner et al., 2000; Venskutonis and Kraujalis, 2013; Giacomini et al., 2014). Grain amaranths are known to be tolerant to adverse environmental conditions, including drought, poor and/or saline soils and intense illumination (Brenner et al., 2000). Some of the physiological properties that have been associated with grain amaranth's positive agronomical traits are their C4 photosynthetic habit (Miller et al., 1984), high water use efficiency (Johnson and Henderson, 2002; Omami et al., 2006), an indeterminate flowering habit, and the ability to develop long tap-roots together with an extensive web of lateral roots (Miller et al., 1984; Li et al., 1989; Johnson and Henderson, 2002; Grobelnik-Mlakar et al., 2012). Other determinants of stress resistance have also been identified, including the ability to accumulate compatible solutes (Huerta-Ocampo et al., 2011), and the expression of stress-related genes (Huerta-Ocampo et al., 2009, 2014; Aguilar-Hernández et al., 2011) and transcription factors (Huerta-Ocampo et al., 2011). Additionally, grain amaranths show exceptional tolerance to severe defoliation (Castrillón-Arbeláez et al., 2012; Vargas-Ortiz et al., 2013), which was found to be associated with an efficient utilization of relatively high levels of stored carbon reserves in stem and roots. They are also known to readily respond to chemical elicitors of defense responses, such as jasmonic acid (JA) (Délano-Frier et al., 2004, 2011; Sánchez-Hernández et al., 2004) or benzothiadiazole (Casarrubias-Castillo et al., 2014), to increase their resistance against highly damaging sucking insect pests, such as the tarnished bug Lygus lineolaris, or against potentially lethal pathogenic bacteria.
The objective of this study was to characterize the novel stress-inducible Ah24 gene, of unknown function, that was isolated from leaves of grain amaranth plants. The gene's nomenclature originated from its position (clone number 24) in a micro-plate that contained part of the SSH library obtained from leaves of A. hypochondriacus plants subjected to various stress treatments, including insect herbivory (Délano-Frier et al., 2011). This gene was subsequently found to be expressed at high levels in response to mechanical wounding, insect herbivory and JA (Navarro-Meléndez, 2009; Massange-Sánchez, 2011). Additionally, a recent proteomic study found that Ah24 accumulated in A. cruentus roots in response to salt stress (Huerta-Ocampo et al., 2014). This pattern indicated that it could be a novel and important regulator of (a)biotic stress responses in grain amaranth and perhaps other related species (Navarro-Meléndez, 2009; Fomsgaard et al., 2010; Délano-Frier et al., 2011; Massange-Sánchez, unpublished data). This was supported by subsequent searches indicating that Ah24 and homologous proteins are taxonomically restricted, since they are almost exclusively found in plants belonging to the Caryophyllales order, which includes many extremophytes (Oh et al., 2012). On the basis of these compelling results, a further study was undertaken to perform an ample characterization of this gene in order to gain a deeper insight into its function in planta. With this objective in mind, the complete gene and cDNA sequences of the Ah24 gene were obtained, together with a sizeable section of its promoter region, which was found to have elements related not only to defense-related JA responses, but also to development. Gene expression analysis in A. hypochondriacus showed that this gene is expressed in actively growing tissues and confirmed its strong response to methyl jasmonate (MeJA) and insect herbivory. Moreover, a functional characterization of this gene using a transgenic approach in Arabidopsis thaliana and Nicotiana tabacum confirmed its positive role not only in defense against herbivory, but also in vegetative growth regulation. The above traits might contribute to the high tolerance to defoliation (Castrillón-Arbeláez et al., 2012; Vargas-Ortiz et al., 2013) and chewing insect herbivory (Brenner et al., 2000; Niveyro and Salvo, 2014) previously reported in grain amaranth. Moreover, the overall results indicate that taxonomically restricted genes, mostly found in plant orders rich in extremophytes, such as the Caryophyllales, can be utilized to engineer stress resistance in commercially important crops, such as rice, corn and wheat, which are less tolerant to adverse environmental conditions.
Results
Isolation of the Amaranthus hypochondriacus Ah24 gene and coding region
Employing PCR-based cDNA subtraction, a partial Ah24 cDNA clone of 858 bp, containing part of the 5′ UTR region, was obtained from combined cDNA libraries of grain amaranth plants subjected to water- and salt-stress, insect herbivory, and mechanical damage (Fomsgaard et al., 2010). Using 5′ RACE PCR, a full-length 844 bp Ah24 cDNA clone was obtained, including a 65 bp 5′UTR, 492 bp open reading frame (ORF), and 287 bp 3′UTR (GenBank accession number JN384107; Figure 1). The ORF encodes a polypeptide of 164 amino acid residues with a predicted molecular mass of 17.6 kDa and pI of 5.71 (Figure 1). The prediction was corroborated by an 82% identity with fingerprint peptides derived from a proteomic analysis of an A. hypochondriacus protein induced by exogenous MeJA (Navarro-Meléndez, 2009; Figure S1 in Supplementary Materials). Bioinformatic analyses further indicated that the secondary structure of the Ah24 protein includes 6 α helices and 3 β-sheets (Figure S2A in Supplementary Materials). Also predicted were one possible N glycosylation site (N41L42) and four putative protein kinase C tyrosine phosphorylation sites, at positions Y43, Y74, Y98, and Y162 (Figure S2B in Supplementary Materials).
An initial search in the NCBI and EMBL databases for nucleotide and protein sequences retrieved two hits for the Ah24 cDNA or protein, both corresponding to other Amaranthus species (see below). However, an in silico comparison with the predicted proteins codified by the transcriptomic data generated by the 1000 Plants Initiative (refer to Materials and Methods for hyperlink) which includes medicinal plants and extremophytes, showed that the Ah24 protein shared closest homology to other predicted Ah24 proteins in Amaranthus and Alternanthera (Figure 2) and, to a lesser degree, to predicted proteins in plants belonging almost exclusively to the Caryophyllales order (Figure 3). Not surprisingly, most of the Alternanthera species in which Ah24 homologs have been identified are considered noxious weeds (Tanveer et al., 2013).
A gene walking experimental strategy permitted the isolation of the Ah24 gene, consisting of 1881 bp organized into two introns (701 and 296 bp in length, respectively) and three exons (37, 365, and 442 bp in length, respectively). Furthermore, gene-specific primers amplified 1304 bp of the promoter region of this gene (GenBank accession number KP184919; Figure S3 in Supplementary Materials). Cis-acting regulatory element analysis (Genomatix 8.0.5) identified 42 regulatory motifs in the promoter region (Table S1 in Supplementary Materials), of which the AHBP, CCAF, GTBX, L1BX, and MADS motifs, mostly involved in the control of developmental processes and/or stress responses, were particularly abundant, comprising more than 50% of the motifs identified in the Ah24 gene promoter region analyzed (Table S2 and Figure S4 in Supplementary Materials). G-boxes and unusual TGACG motifs, both associated with the response to JA (Memelink, 2009), were also detected (Table S2 in Supplementary Materials).
Tissue-specific pattern of Ah24 expression and in response to (a)biotic stresses
Real time PCR was employed to determine the basal expression levels of Ah24 in A. hypochondriacus tissues at different developmental stages. Ah24 was expressed predominantly in emerging or rapidly developing or expanding tissues, such as apical meristems, young leaves, roots, and panicles (Figure 4A). Strong levels of expression were also detected in apical meristems, stems (Figure 4B) and emerging leaves of young A. hypochondriacus plants recovering from severe defoliation (Figure 4C). Additionally, Ah24 expression was very strongly activated by mechanic wounding, insect herbivory and MeJA treatment (Table 1). The expression patterns and maximum expression levels varied in response to the treatments applied, being clearly stronger in MeJA-treated plants. The local induction was very rapid and intense, becoming evident between 1 and 3 h post treatment (hpt) and reaching highest levels of expression between 9 and 12 hpt [mechanically wounded (W) and MeJA treatments] or at 36 hpt [herbivory (H) treatments]. Systemic induction in distal leaves of W and MeJA-treated plants was weaker and tended to be slower, particularly in W plants. Conversely, the expression of the Ah24 gene in H-treated plants was higher in distal, intact leaves than in damaged leaves, with both types of tissues reaching maximum levels of Ah24 expression at 36 hpt. The expression patterns differed, both in intensity and kinetics of expression, from those produced by AhAOC, coding for allene oxide synthase, a JA-biosynthetic enzyme, and AhKTI, coding for a Kunitz trypsin inhibitor, which were used as markers of the wound response (Castrillón-Arbeláez et al., 2012) (Table 1). Induced Ah24 expression in leaves of A. hypochondriacus was also relatively stable, remaining up-regulated for up to 36 hpt. No W- or MeJA-induced expression of Ah24 was detected in roots and stems of A. hypochondriacus plants subjected to the above treatments (results not shown). Also, exposure to water- or salt-stress did not induce the expression of Ah24 in young amaranth plants (results not shown).
Table 1.
Relative expressiona | |||||||||
---|---|---|---|---|---|---|---|---|---|
Hours post treatment (hpt) | 1 | 3 | 6 | 9 | 12 | 24 | 36 | ||
Ah24 | H | Lb | – | 25 | 55 | 61 | 313 | 147 | 688 |
Sb | – | 6 | 20 | 6 | 37 | 212 | 722 | ||
W | L | 42 | 354 | 180 | 1064 | 1787 | 194 | 196 | |
S | 1 | – | – | 32 | 23 | 4 | 3 | ||
MeJA | L | 13 | 416 | 3782 | 3713 | 1091 | 2905 | 322 | |
S | 3 | 3 | 12 | 33 | 85 | 125 | 77 | ||
AhAOSc | H | L | – | 14 | 11 | 06 | 14 | 2 | 15 |
S | – | 1 | 1 | 1 | 2 | 1 | 3 | ||
W | L | 102 | 18 | 2 | 1 | 3 | – | 1 | |
S | – | – | – | 1 | 2 | – | 1 | ||
MeJA | L | 24 | 33 | 13 | 9 | 4 | 3 | 2 | |
S | 3 | 3 | 6 | 14 | 6 | 6 | 9 | ||
AhKTIc | H | L | – | – | – | – | 1 | 1 | 2 |
S | – | 1 | 1 | 1 | 2 | 1 | 3 | ||
W | L | 1 | 1 | – | 2 | 2 | 1 | 2 | |
S | 1 | – | – | 7 | 5 | 2 | 3 | ||
MeJA | L | 3 | 11 | 13 | 23 | 13 | 12 | 7 | |
S | 5 | 7 | 17 | 63 | 27 | 19 | 43 |
The fold change in the expression of the target genes was calculated using the 2−ΔΔCt method according to Livak and Schmittgen (2001); controls were leaves from intact plants (for herbivory and mechanical wounding assays) or from plants treated with 0.01% Triton X-100 only (for MeJA assay).
L, local response; S, systemic response.
AhAOC, A. hypochondriacus Allene oxide cyclase; AhKIT, A. hypochondriacus Kunitz trypsin inhibitor.
Subcellular localization of Ah24
Prediction of subcellular localization using ProtComp v9.0 software suggested that Ah24 had a cytosolic localization. This prediction was supported by the expression and distribution of the Ah24-GFP chimeric protein in roots of transgenic Ah24 OE Arabidopsis plants was tracked by fluorescence microscopy (Figure 5). Curiously, the marker protein showed a tendency to accumulate in the periphery of the nucleus. A possible localization in the nucleolus was also suggested by the fluorescence intensity.
Generation and functional characterization of Ah24 OE-transgenic A. thaliana and N. tabacum plants
Seven Arabidopsis T2 homozygous OE transgenic lines with a single T-DNA insertion were randomly selected. They showed significantly different Ah24 expression levels, ranging from 1 × 104 to 5 × 105-fold higher expression levels relative to background expression levels in untransformed controls (Figure S5 in Supplementary Materials). Three lines with differing Ah24 expression levels [high (L15), middle (L11), and low (L5)] were selected for further experimentation. In most experiments, Ah24 expression dosage in transgenic OE Arabidopsis lines significantly affected their vegetative and reproductive growth. The primary roots of the three OE lines were significantly shorter than the WT controls as measured in 2- to 9-day-old seedlings (Figures 6A,B). However, this tendency was reversed as plants developed, since roots tended to be larger and had a higher fresh and dry weights in 6-week-old OE transgenic plants (Figures 6C–E). WT and OE plants bolted after 3 weeks of growth and developed a main stem. No difference in flowering time (i.e., 3.5 weeks ± 1 day) was detected between WT and OE plants. However, the length of the main stem was inversely correlated with the level of Ah24 transgene expression, as shown in Figure 7A. Also, this negative effect was corrected as plants became older, since stem size in the L15 line became indistinguishable from WT plants (Figure 7B). Conversely, rosette sizes in OE plants were visibly larger, as confirmed by their significantly higher rosette and inflorescence fresh and dry masses (Figures 8A,B). Surprisingly, leaf number was significantly higher in all three transgenic OE lines tested (Figure 8C). These changes in vegetative development did not impose a fitness cost in terms of reproductive development since no differences in seed yield were observed between WT and transgenic OE plants (Figure S6 in Supplementary Materials).
Contrary to Arabidopsis, the OE of the Ah24 gene in three of the three T2 lines of transgenic tobacco plants examined (Figure S7 in Supplementary Materials) had mostly a neutral effect on vegetative and reproductive growth, although the most highly expressing transgenic OE line (L14) showed a temporary slower growth rate, manifested at mid-development (Figure S8A in Supplementary Materials). Leaf number, seed capsule number and seed yield per plant in OE plants were not significantly different from those in WT (Figures S8B–D in Supplementary Materials). No difference in seed morphology and size was observed between seeds obtained from WT and transgenic Arabidopsis and tobacco plants.
Conversely, resistance to insect herbivory by M. sexta larvae in transgenic OE tobacco lines was clearly dependent on transgene dosage. Thus, only the highest Ah24-expressing L14 and L2 plants were able to significantly reduce larval body weight gain, as compared to WT controls, measured after 3-day continuous leaf feeding trials (Figure 9A). Resistance to insect herbivory in these Ah24 transgenic tobacco lines correlated with constitutively high trypsin inhibitor levels in damaged leaves only (Figure 9B) and induced accumulation of nicotine (Figure 9C) and JA (Figure 9D). Significantly higher JA and nicotine levels correlated with data obtained from a parallel metabolomics analysis in which a similarly significant enrichment of ion peaks having an m/z-value that coincided with their respective molecular weights (Figures 10A,B). Twelve additional m/z ions that putatively correspond to secondary metabolites known to increase in response to biotic stress in tobacco (Figures 10C–L and Figure S9 in Supplementary Materials), plus eight other unidentified m/z ions, showed an altered pattern of accumulation in response to herbivory, as compared to WT plants (Figure S9 in Supplementary Materials).
Microarray analysis of arabidopsis Ah24 OE plants
To elucidate the effect that the OE of the Ah24 transgene had in Arabidopsis gene expression, a microarray analysis of WT and L15 Ah24 OE transgenic plants under normal growing conditions was performed. The fold change analysis (FC = 1.6) showed that the expression of 2602 genes was altered in the Ah24 OE transgenic L15 line as compared with WT plants, of which 1293 were up-regulated and 1309 were down-regulated (Table S3 in Supplementary Materials). Of relevance was modified expression of various MIR-encoding genes whose targets impinge on plant hormone signaling (Schommer et al., 2008; Siré et al., 2009; Zhu et al., 2011; Barah et al., 2013; Turner et al., 2013; Curaba et al., 2014). Also represented were genes involved in the maintenance of gibberellin homeostasis (e.g., CYP714A2 and AGF1; Zhu et al., 2006; Matsushita et al., 2007; Zhang et al., 2011) and in phytohormone signaling (e.g., SLEEPY1, coding for an F-box family protein gene that positively regulates gibberellin signaling; CRF2, for an ethylene-responsive transcription factor involved in cytokinin signal transduction, and SEUSS-like 1, for a transcriptional adaptor that regulates floral and embryonic development and also auxin-related phenotypic and transcriptional responses; Bao et al., 2010; Ariizumi et al., 2011; Cutcliffe et al., 2011). The RHE1a gene, coding for a RING finger E3 ligase, which is considered to be part of the overall signal involved in plant development and defense (Schwechheimer et al., 2009), was also found to be strongly down-regulated in Ah24 OE Arabidopsis plants.
A gene ontology (GO) analysis of the microarray data was also performed (Table S3 in Supplementary Materials). An examination of the GO data obtained from enrichment in cellular components, biological processes and molecular function categories suggested that Ah24 overexpression in Arabidopsis plants triggered mechanisms resembling those designed to re-establish and maintain ion and cellular homeostasis in response to stress (Conde et al., 2011). Particularly, relevant were the enrichment in categories involving stress sensing and signaling mechanisms, plant cell detoxification, transport and compartmentation. In this respect, the cellular component enrichment of the Golgi apparatus was relevant considering its vital role in the integration of plant growth and stress responses (Che et al., 2010). A possible influence of Ah24 overexpression on developmental processers in Arabidopsis was suggested by the enrichment of various categories related to hormone responses, telomere maintenance and lengthening (Watson and Riha, 2010), histone modifications (Liu et al., 2010), carbon fixation and ribulose bisphosphate carboxylase activity, and energy-producing processes. In this respect, the enrichment of the 6-phosphofructokinase complex, part of which is involved in the glycolytic process and curiously, anoxia-related stress (Mithran et al., 2013), and of mitochondrial respiratory chain complex IV assembly categories was relevant. Other enriched development-associated categories were pollen development, lateral root development, anatomical structure formation involved in morphogenesis, and pollen sperm cell differentiation.
To confirm the results obtained from the microarray analysis, 19 genes which showed a 3.5 ≤ Z-score ≥ 3.5 were selected for qRT-PCR analysis. The results obtained (Figures S10A,B in Supplementary Materials), although not as contrasting as those reported in the microarray, corroborated their up- or down-regulated expression in response to the OE of the Ah24 gene in A. thaliana. Moreover, the down-regulation of the MiR398 gene was inversely correlated with the 3.5-fold increase in the expression levels of cytochrome C oxidase subunit V, one of its known target genes (Jones-Rhoades and Bartel, 2004; Figure S10B in Supplementary Materials). Interestingly, the majority of the genes whose expression was affected in the Ah24 OE Arabidopsis plants are closely involved in phytohormone-related processes directly involved in plant growth and development (Table S4 in Supplementary Materials).
Discussion
This study describes the characterization of a novel A. hypochondriacus gene of unknown function. The isolation of the Ah24 complete cDNA, revealed that Ah24 is a small, 17.6 kDa, acidic (pI = 5.71), cytoplasm-localized protein having putative glycosylation and phosphorylation sites that could be important for its biological function (Figure 1 and Figure S2 in Supplementary Materials). Experimental data obtained in this study complemented previous evidence that strongly suggested that JA-inducible Ah24 could have a role in the wound response and/or defense against chewing insect herbivores (Navarro-Meléndez, 2009; Massange-Sánchez, 2011; Figure S1 in Supplementary Materials; see below).
A search for homologous protein or nucleotide sequences in all available databases yielded only two hits, in A. cruentus and A. retroflexus. The limited information available suggested that Ah24 was possibly an “orphan” or taxonomically restricted gene, which usually lack an assignable function and have no resemblance to any other protein or gene outside a restricted lineage (Dassanayake et al., 2009, 2011; Oh et al., 2012). The prediction was supported by a subsequent search in recently, available transcriptomic data gathered by the “1000 Plant Initiative.” It indicated that the Ah24 protein has homology with a reduced group of proteins, most of which are restricted to species within the Caryophyllales order (Figures 2, 3). Interestingly, this plant order is characterized by an abundance of extremophytes (Flowers and Colmer, 2008; Oh et al., 2012). Accordingly, Ah24 homologs are found in Salicornia europaea, an halophyte that is widely distributed in coastal and inland salt marshes around the world (Fan et al., 2013; Ma et al., 2013) and in various Atriplex species, many of which are used for the remediation of saline or heavy-metal contaminated soils (Kachout et al., 2010 and references therein). It is also present in exceptionally stress tolerant plants such as Kochia scoparia (Kalinina et al., 2012 and references therein), Spergularia media (syn. S. maritima) (Flowers and Colmer, 2008), and Dianthus sp. Not surprisingly, these and other related species have been considered as potential sources of abiotic stress-resistance genes for crop improvement (Pathak et al., 2014).
Preliminary experimental data associated Ah24 expression with the JA-regulated wound response in grain amaranth. This study provided further support for this function by showing that the Ah24 gene underwent a very rapid, strong and stable induction, both local and systemic, in response to mechanical damage, leaf-chewing insect herbivory and MeJA treatment (Table 1). The higher resistance to M. sexta folivory in Ah24 overexpressing transgenic tobacco plants (Figure 9A) was in agreement with the wound- and JA-responsive nature of this gene in grain amaranth and suggested an important role in the regulation of JA-dependent defense responses against insect herbivores in these plants. Additional evidence in favor of this gene's role in defense was the induction in transgenic OE tobacco plants of biochemical traits positively associated with the wound/insect herbivory response in several Nicotiana species (Halitschke and Baldwin, 2003; Lou and Baldwin, 2003; Steppuhn et al., 2004; Zavala et al., 2004; Steppuhn and Baldwin, 2007) and in other plants as well, including grain amaranth (Sánchez-Hernández et al., 2004; Mithöfer and Boland, 2012; Fürstenberg-Hägg et al., 2013). These included the accumulation of JA, nicotine, and foliar trypsin inhibitor activity (Figures 9B–D) Additional metabolomic data (Figure 10 and Figure S9 in Supplementary Materials) supported the herbivory-induced accumulation of both JA and nicotine, and further suggested that the accumulation of several other defense-related secondary metabolites, including alkaloids, phenolic compounds and phenolic amides, sesquiterpenes and diterpenoid glycosides (Nugroho and Verpoorte, 2002; Jassbi et al., 2008 and references therein; Großkinsky et al., 2012) was associated with the increased resistance to insect herbivory in transgenic tobacco.
Parallel experimental evidence gathered in amaranth and in transgenic OE Arabidopsis indicated that this gene might be also actively involved in the regulation of vegetative growth, particularly in developing tissues. The higher Ah24 expression levels detected in apical meristems, young leaves and panicles compared to those in older tissues, such as mature leaves and stems of grain amaranth plants, supported this proposal (Figure 4A). A further role in leaf tissue regeneration after wounding was also implied by the strong Ah24 expression detected in apical and axilar meristems and in the first leaves emerging in the early stages of recovery after severe defoliation in grain amaranth plants (Figures 4B,C). Thus, Ah24 may actively participate in the strong re-growth process observed in defoliated grain amaranth (Castrillón-Arbeláez et al., 2012; Vargas-Ortiz et al., 2013).
The above results suggested the participation of this gene both in wound-healing and leaf regeneration and in defense against leaf-chewing insect herbivory. However, an examination of the Ah24 gene promoter region indicated a predominance of regulatory elements involved in development, thus providing a hint that this gene's role might be more oriented toward participation in developmental processes associated with leaf regrowth than in defense (Tables S1, S2 in Supplementary Materials). Particularly abundant were the AHBP, CCAF, L1, GT, and MADS boxes. These cis-acting elements are related to a wide range of functions, including maintenance of floral meristem identity and flower formation. They are also known to control the development of cotyledonary and vegetative tissue, fruit and/or roots, and to regulate epidermal cell differentiation and circadian factors that determine long-day photo-periodicity (Ng and Yanofsky, 2001; Harmer and Kay, 2005; Avilés-Arnaut and Délano-Frier, 2012; Takada and Iida, 2014). Their role in the response to abscisic acid stimulus has also been reported (Zhou, 1999; Venu et al., 2013).
Moreover, the phenotypes observed in transgenic Ah24 OE Arabidopsis plants, which were gene-dosage dependent, further supported a role for the Ah24 gene in development, as demonstrated by a temporary negative effect on root and inflorescence stem lengths (Figures 6, 7). These effects contrasted with increased vegetative growth, manifested later-on in development, as increased shoot biomass and leaf number (Figure 8). The microarray data (Table S3 in Supplementary Materials), together with a selection of the most highly induced and repressed genes (Table S4 in Supplementary Materials) showed that several genes directly involved in phytohormone-associated processes were induced in the very highly Ah24 expressing L15 line. This pattern suggests that developmental changes observed in Ah24 OE Arabidopsis could partly result from phytohormone-related developmental programs. However, the above described GO enrichment data (Table S3 in Supplementary Materials), imply that Ah24 influence on Arabidospis development might involve a more complex process, more akin to the mechanisms activated to re-establish and maintain ion and cellular homeostasis in response to stress (Conde et al., 2011). Apart from these conjectures, the mechanisms by which Ah24 overexpression alters development in Arabidospis remain unknown. However, the predicted glycosylation and phosphorylation sites in its sequence could regulate its biological activity by shifting its predominant cytoplasmic localization to other organelles, including the nucleus (Figure 5), or could enhance its ability to form active complexes with developmentally relevant proteins (Blom et al., 2004).
On the other hand, as shown in Figure 5, Ah24 appears to accumulate predominantly around the nucleus, perhaps indicating that its biological activity could also be associated with this localization in the cell. This proposal is in agreement with a number of studies that have reported the significance that the nuclear surface/envelope has on cell division and cell elongation via its role as a microtubule organizing center from which the plasma membrane-cell wall continuum is generated. Also of relevance to this study is the proposed role played by this network in the regulation of plant responses to environmental stress conditions (Stoppin et al., 1994; Zhou et al., 2007; Ambrose and Wasteneys, 2014). Although many aspects of this network remain to be determined, it appears that many putative plasma membrane-cell wall anchoring proteins, similar to those identified in cell adhesion in other eukayotes, may serve as a transmembrane linkers between the extracellular matrix and the cytoskeleton to regulate plant growth, immune system responses and/or sensing of biotroph pathogens, cell wall mechanical tension or osmotic stress (Liu et al., 2015). Intriguingly, the GO enrichment data (Table S3 in Supplementary Materials) derived from the microarray assay revealed several biological process and molecular function categories that could contribute to this particular intracellular communication, including those representing microtubule polymerization or depolymerization, nucleologenesis, regulation of cell communication, and actomyosin structure organization. Moreover, an enrichment of GO cellular component categories possibly related to this network, such as those related to organelle envelope, or intrinsic to the membrane, microtubule and cell wall, was also found.
Interestingly, the development-associated effects observed in transgenic Arabidopsis plants were not mirrored in tobacco Ah24 OE plants (Figure S8 in Supplementary Materials). On the other hand, the resistance to insect herbivory in transgenic tobacco plants was not reproduced in transgenic Arabidopsis plants, which showed no increased resistance to herbivory by Trichoplusia ni larvae (Figure S11 in Supplementary Materials). However, Arabidopsis Ah24 OE plants appear to be strongly tolerant to water-stress (Massange-Sánchez, unpublished data), a finding which coincides with the frequent abiotic-stress resistance associated with “orphan-genes” such as this one (Oh et al., 2012). Perhaps the difference in Ah24 gene dosage was a factor that contributed to the differences observed between transgenic Arabidopsis and tobacco plants (compare Figure S5 and Figure S7 in Supplementary Materials). For instance, the very highly expressing Arabidopsis L15 line had expression levels that were ca. 140-fold higher than those detected in the most actively Ah24-expressing tobacco L14 line. Conversely, it is not altogether unreasonable to suggest that the phylogenetic distance between these genera (Soltis et al., 1999) might have contributed to the different effects caused by the overexpression of the Ah24 gene. The generation of similar phenotypes in transgenic Arabidospsis and tobacco overexpressing the same foreign gene is more frequent than not and is indicative of conserved gene functions in these genera (Rodrigues et al., 2006). However, the opposite has also been reported, even in closely related species such as tobacco and tomato. For example, the effect of overexpressing a key sterol biosynthetic gene from Brassica juncea had a much more positive effect in tobacco than in Arabidopsis (Liao et al., 2014). Moreover, different sensitivity to cytokinins was believed to cause the differential effects observed in transgenic tobacco and tomato transformed with the CKI-1 gene, which is involved in this phytohormone's function (Mythili et al., 2011).
In conclusion, it appears that Ah24 gene is involved in regulating growth in rapidly developing tissues of grain amaranth plants, such as meristems, young leaves, and panicles. This property, coupled to its strong induction by mechanical wounding, chewing insect herbivory and JA, is believed to be an important factor contributing to the plant's rapid recovery after severe defoliation, although a defensive function in grain amaranth cannot be ruled out. Despite the potential lack of biological relevance generated by experiments in which genes are expressed at non-physiological levels (Prelich, 2012), a role of the Ah24 gene in both defense and development was, nevertheless, supported by data generated from the functional characterization of this gene in OE Arabidopsis and tobacco plants. However, the precise mechanism(s) by which Ah24 is able to modulate defense and development responses in these plants remain(s) unknown.
Materials and methods
Biological material
Seeds of Amaranthus hypochondriacus cv. Revancha were kindly provided by Dr. E. Espitia (INIFAP, México). Plants were maintained as described previously (Délano-Frier et al., 2011). A. hypochondriacus plants were used for experimentation 5–6 weeks after germination. At this point, they were 17–22 cm high and had 9–15 expanded leaves. Leaf, stem and root tissue samples were collected in all stress assays performed. Larvae of the Hawaiian beet webworm, Spoladea recurvalis, were employed for these herbivory experiments. Adult specimens were collected in the wild and reared in our laboratory: larvae fed on leaves of young amaranth plants and adults from cotton balls infused with diluted honey. Manduca sexta larvae were obtained from the insectary at Cinvestav, Irapuato. Tobacco (Nicotiana tabacum cv. Xanthi nc) and Arabidopsis thaliana ecotype Columbia were used for the generation of transgenic plants. A. thaliana seeds were germinated and grown following standard methodologies (http://web.calstatela.edu/faculty/vllnwth/grow.htm). Briefly, after a 72 h scarification-vernalization period at 4°C, sterilized seeds were germinated and grown on petri dishes containing Murashige and Skoog (MS; Murashige and Skoog, 1962) and then transferred to soil. Arabidospis plants were grown in controlled conditions of light (photosynthetic photon flux density (PPFD) of ≈200 μmol m−2 s−1), photoperiod (16 h light/8 h dark) and temperature (22 ± 1°C). Tobacco plants were grown as described previously (Valenzuela-Soto et al., 2011).
Full-length cDNA and gene amplification
The full-length Ah24 cDNA was obtained using total A. hypochondriacus leaf RNA (1 μg) as starting material. RNA was reverse-transcribed to generate the first-strand cDNA as described elsewhere (Castrillón-Arbeláez et al., 2012). Aliquots of this reaction (2 μl) were directly used as template for the PCR reactions in the presence of 100 pmol each of the specific primers Ah24-F and Ah24-R (Fomsgaard et al., 2010) (Table S5 in Supplementary Materials). Cloning and sequencing of the resulting amplicons were performed to confirm their identity. Subsequent amplification of the 5′ and 3′ cDNA ends was performed by RACE (Rapid Amplification of cDNA Ends) with the SMARTer RACE cDNA Amplification Kit (Clontech, Laboratories, Mountain View, CA), according to the manufacturer's instructions. The protein encoded by the open reading frame (ORF) of the Ah24 cDNA was deduced with the aid of the FastPCR 6.0 program (http://en.bio-soft.net/pcr/FastPCR.html). Bioinformatic analyses were performed to determine the possible biological function of the Ah24 protein and to search for conserved domains. The following tools were used for this purpose: BlastN, BlastX and specialized Blast NCBI databases (http://blast.ncbi.nlm.nih.gov/), EMBL databases for InterProScan sequence searches and T-Coffee multiple alignment of sequences (http://www.ebi.ac.uk/embl/), and CBS databases to determine protein structure (CPHmodels 3.0 Server and CLC Main Workbench 6 Software), protein targeting (SignalP 3.0 Server), and protein localization (TargetP 1.1 Server) (http://www.cbs.dtu.dk/services/). ExPASy tools (http://www.expasy.ch/tools/) was used to predict secondary structures. The relationship of Ah24 with homologous proteins predicted from transcriptomes of exotic plant species, made available by the 1000 Plants initiative (https://sites.google.com/a/ualberta.ca/onekp/), was inferred by constructing a phylogenetic tree using MEGA Ver. 5.1 (Tamura et al., 2011).
Genomic DNA was extracted from leaves of A. hypochondriacus as previously instructed (Murray and Thompson, 1980) and digested with four restriction enzymes (DraI, EcoRV, PvuI, and StuI). The resulting fragments were blunt-end ligated to the Genome-Walker Adaptor provided by the Genome-Walker Universal kit (Clontech) to generate the corresponding libraries. These libraries were used as templates for PCR and nested PCR using primers based on the complete Ah24 cDNA sequence (see Table S5 in Supplementary Materials). Amplifications in both 3′ and 5′ directions yielded the complete sequence of this gene, including a sizeable portion of its promoter region. The overlap between the cDNA and genomic sequences confirmed the identity of the newly generated fragments. All PCR amplicons obtained were cloned using the pCR4-TOPO cloning kit (Thermo Fisher Scientific, Waltham, MA USA) and sequenced. The intronic and exonic regions of the Ah24 gene were defined using the ExonMapper Release 3.51 (Genomatix). A MatInspector Release professional 8.0.5 program (Genomatix), was used to detect regulatory elements in the 1304 bp promoter region of the Ah24 gene.
Stress treatments in A. hypochondriacus
Salt and water stress assays
Groups of six A. hypochondriacus plants were used to perform all stress experiments. These were performed in a growth chamber under controlled conditions of light (PPFD ≈300 μmol m−2 s−1) photoperiod and temperature (16 h light/8 h dark, 28°C). Plants were subjected to acute salt stress by watering the 1.3-L pots for three consecutive days with 40 mL of a 400 mM NaCl solution. Salt-treated plants (electrical conductivity of the run-off water ≈20 dS/m), showed little signs of stress compared to controls (0.28 dS/m in run-off water). The conductivity in the soil of salt-treated plants ranged between 2 and 3 dS/m, which are values that represent low to mild salinity conditions (http://www.fao.org/docrep/005/y4263e/y4263e0e.htm). Water stress, without acclimation (designed to measure basal tolerance), was imposed in the above conditions, by withholding irrigation for 5 days. Water-stressed plants showed visible signs of wilting and suffered partial leaf abscission.
Mechanical wounding, insect herbivory, methyl jasmonate (MeJA), and defoliation assays
Mechanical wounding was caused by the combined action of a nail cutter and a paper puncher. Using these implements, two large incisions on the edge of the leaves and two perforations in the central area of the leaf were made. Removed tissue amounted to 30–40% of the total leaf area. Only one leaf, placed mid-way to the apex of the plant, was damaged (usually leaf number 5, starting from bottom to top). Here, the local response to mechanical wounding was measured. The “systemic” wound response was determined in a younger leaf positioned at an angular distance of ca. 0° with respect to the damaged leaf (usually leaf number 9, starting from bottom to top). This sampling strategy was based on findings in other plant species (e.g., N. attenuata; Schittko and Baldwin, 2003; Orians, 2005), in which this phyllotactic pattern involves leaves that share primary vasculature. Sampling was performed at 1, 3, 6, 9, 12, 24, and 36 h after mechanical damage.
For the insect herbivory assays, three 3rd to 4th instar S. recurvalis caterpillars were confined to the older leaves of the bottom end of each plant by enclosing them within a plastic mesh sleeve by means of a clothespin. Leaves of undamaged control plants were also enclosed within plastic mesh sleeves. Larvae were allowed to feed for 3, 6, 9, 12, 24, and 36 h and were then removed. Insect herbivory damage caused approximately 30% of leaf surface loss. Both damaged (i.e., number 1–4, starting from the bottom) and undamaged (i.e., number 6–9, starting from the mid-section to the apex of the plant) leaves were collected from each plant and pooled into a single sample to determine the local and systemic herbivory-induced expression, respectively, of the Ah24 gene.
MeJA treatments consisted of applying two drops of a 9.2 mM MeJA in 0.125% Triton X-100 (equivalent to 32 μg of MeJA per plant), to leaf number 5, as described above. Leaves number 5 (local response) and 9 (systemic response) (see above) were sampled 1, 3, 6, 9, 12, 24, and 36 h after MeJA application. Control plants were treated with the detergent solution only and were sampled at the same time points. Stem and root samples were also collected in each of the experiments described. All plant tissue sampled were flash frozen in liquid N2 and stored at −80°C until required for further analysis.
Severe defoliation of 45 days-old plants having approximately 11 expanded leaves was done mechanically as previously described (Vargas-Ortiz et al., 2015). Briefly, the complete loss of the plant's leaf tissue (except the remaining foliar tissue around the apical meristem), was completed within a 3-day period by eliminating 25% leaf tissue-loss per day by means of a punch-hole borer. On the third day, after 75% defoliation, plants were completely defoliated by cutting the remaining leaves at the base of the petiole. Apical meristems and the youngest leaf of the group of immature leaves remaining in the apex of the defoliated plants were collected immediately once defoliation was completed. Later, new leaves emerging from the axillary meristems were collected from the plants at 3, 6, and 9 days after defoliation. Leaves from developmentally matching intact plants were collected simultaneously to serve as controls.
Quantitative PCR assays
All quantitative PCR (qPCR) assays were performed as described previously (Castrillón-Arbeláez et al., 2012; Casique-Arroyo et al., 2014) using SYBR Green detection chemistry and a CFX96 Real Time System (Bio-Rad, Hercules, CA, USA). qPCR reactions were performed using the Ah24 primers listed in Table S5 of Supplementary Materials, which were designed on the basis of its complete cDNA sequence. The Ah24 expression levels in different A. hypochondriacus plant tissues (i.e., young, and intermediate leaves, stems from young and mature plants, roots, apical and axillar meristems and panicles) were reported in relation to the expression levels in mature leaves, which were set at a value of 1 (Ying et al., 2012). In transgenic Arabidopsis and tobacco plants, foliar Ah24 transgene expression levels were calculated relative to trace background levels in WT plants. Relative gene expression was calculated using the comparative cycle threshold method (Livak and Schmittgen, 2001). The genes employed as normalizing controls were actin and tubulin (for amaranth), actin and EF-1α (for Arabidopsis) and the L25 Ribosomal protein gene and EF-1α (for tobacco). In all cases, plant tissues for qPCR assays were obtained from combined pools of six plants. Each pool was subsequently subjected to three independent sampling procedures prior to analysis. qPCR data are reported as the mean of three repetitions ± SE of one representative experiment. qRT-PCR expression analyses were validated in two independent experiments.
Primers employed for the validation of the microarray assay performed in Ah24 overexpressing A. thaliana plants (see below) are also shown in Table S5 of Supplementary Materials. Primer design for Ah24 and selected Arabidopsis genes was performed using DNA calculator software (Sigma-Aldrich St. Louis, MO, USA) and included part of the unique 3′ non-coding region to ensure specificity.
Plant transformation
Overexpression construct and floral dip transformation of arabidopsis
The complete ORF of Ah24 was PCR amplified using specific primers (Table S5 in Supplementary Materials). The amplified 579 bp fragment was cloned in the pCR 8/GW/TOPO TA entry vector (Thermo Fisher Scientific) and subsequently in the pB7WG2D exit vector (Cambia, Canberra, Australia), under the control of 35S CaMV promoter. In both cases, spectinomycin resistance was used for selection in E. coli. The binary construct was electroporated into Agrobacterium tumefaciens strain GV2260. A. thaliana plants were transformed by the floral dip method (Clough and Bent, 1998). Dipped plants were grown to maturity under controlled conditions, as described above, and the seeds were harvested at maturity. Two-week old T1 OE transgenic A. thaliana plants were selected by growth in MS medium containing N-acetyl-L-phosphinothricin (PPT) (10 μg/mL) and screening by PCR using gene-specific primers (Table S5 in Supplementary Materials). T2 seeds were collected from individual transformants (T1) and plated again on the selection medium to determine PPT-resistant vs. PPT-sensitive plants segregation ratios. Homozygous transgenic plants produced no PPT-sensitive seedlings from seeds of T2 plants. All further analysis of Ah24 overexpressing (OE) lines was performed using T2 plants homozygous for the transgene.
Seeds of WT controls and homozygous OE transgenic (T2) Arabidopsis lines differing in Ah24 transgene dosage (i.e., L5, L11, and L15), were germinated in petri dishes containing MS salt medium as above. Eight days later, the germinated seedlings were transferred to 40-well trays or single 125 mL plastic pots containing a soil mixture composed of three parts Sunshine Mix 3TM (SunGro Horticulture, Bellevue, WA), one part loam, two parts mulch, one part vermiculite (SunGro Hort), and one part perlite (Termolita S.A., Nuevo León, México). The Arabidopsis plants were grown in controlled conditions, as above. Plants were fertilized once with 2.0 g/L of a 20-10-20 (N-P-K) all-purpose plant fertilizer (Peters Professional; Scotts-Sierra Horticultural Products, Marysville, OH, USA) just after seedlings were transferred to the plastic pots. Plants intended for seed production were fertilized once more at the onset of flowering. In these conditions, the life cycle of the Arabidopsis plants from planting to harvest of seeds was ca. 8 weeks. Several independent sets of OE transgenic and wild-type plants were grown for the different analyses performed. Four weeks-old plants were used for experimentation.
Construction of plant transformation vector and tobacco transformation
To perform plant transformation, Ah24 cDNA was PCR-amplified with a primer pair listed in Table S5 of Supplementary Materials. These amplified an 810 bp fragment, which was cloned into the pMDC32 transformation vector and placed under the control of the 2 × 35 S CaMV promoter, in tandem. The resulting vector was mobilized into A. tumefaciens (LBA4404; Voelker et al., 1987) and used to transform tobacco plants according to a standard protocol (Avilés-Arnaut and Délano-Frier, 2012).
Briefly, sterile tobacco seeds were germinated on 0.5 × MS medium, containing 1% sucrose and 1% phytagar (Thermo-Fisher Scientific), respectively. Leaf segments cut from the germinated plants were used for transformation with A. tumefaciens. Putative OE transgenic plants were regenerated directly from leaf edges in the presence of hygromycin B (HygB; 25 mg/L). These were grown in a conditioned growth chamber maintained at 28°C with a 16 h/8 h light photoperiod and a PPFD of ≈300 μmol m−2 s−1. Seeds from 18 parental T0 OE transgenic plants were germinated to generate T1 generation plants. Six plants from each resulting T1 line were selected at random and 200 seeds from each were germinated on MS- HygB media to select plants having a single copy of the gene. Transgenic OE plants were screened by PCR using the HygB -selective primers (Table S5 in Supplementary Materials), which generated a 163 bp amplicon. Three T2 lines with different Ah24 transgene dosage (i.e., L15, L2, and L14) showing 100% survival on the HygB-supplemented (20 μg/mL) MS medium and having no abnormal phenotypes were selected for further studies. Transgenic OE tobacco plants were subsequently grown under controlled conditions in the above growth chamber or in a greenhouse, under natural conditions of light temperature present during the spring-summer of 2014.
Plant growth, leaf number, seed capsule and flower counts in transgenic tobacco plants
WT plant seeds or of the three transgenic OE lines selected were germinated in petri dishes containing MS media ± HygB, as above. Approximately 1 week later, seedlings were transferred to germinating trays containing a germination soil mixture, as described previously (Casique-Arroyo et al., 2014). Approximately 3-weeks later, young plantlets were transferred to 4-L plastic pots containing a general soil mixture (Casique-Arroyo et al., 2014) and were grown in a greenhouse, under natural conditions of light and temperature present during the spring-summer of 2014. After 28 days, plant height and leaf number were determined weekly in ≈8 weeks-old plants per genotype (n = 12). Flowers were counted weekly once flowering started, which occurred ≈25 days later. For seed production, capsules were collected from the plants as they matured. The number of flower and seed capsules, as well as total seed biomass were considered as fitness components.
Measurement of vegetative growth and seed yield in transgenic arabidospis plants
The effect on vegetative growth and seed yield was determined in three transgenic OE Arabidopsis plants lines differentially overexpressing the Ah24 gene. Root growth was determined at different developmental stages: in 2, 3, 6, 8, and 9 days-old seedlings grown vertically on MS-containing petri dishes and in 6–7 weeks-old plants grown in soil. Leaf number as well as fresh and dry weights of rosettes, roots and inflorescences was also determined in these plants. To measure yield, dry seeds were harvested manually from fully matured plants, approximately after 8 weeks of growth. All experiments were performed in the Arabidopsis growth chamber, as described above.
Construction of the GFP::Ah24 fusion construct and transformation of A. thaliana
The coding sequence of the Ah24 gene, was fused with the 5′ region of green fluorescent protein (GFP) driven by the 35S CaMV promoter. The PCR product was amplified with specific primers listed in Table S5 of Supplementary Materials, and was subsequently cloned into the pDONR 221 plasmid and transferred to the pFAST-R06 plasmid using the Gateway technology (Invitrogen, Carlsbad, CA, USA). The binary vector was electroporated inro E. coli (DH5α strain) and A. tumefaciens (GV2260 strain). Arabidopsis plants (Col-0) were transformed with Agrobacterium using a modified floral dip method, as above. For GFP analysis, roots were observed under an inverted LSM510 confocal laser scanning microscope (Zeiss, Oberkochen, Germany). For visualization, seedlings were stained and mounted in 10 μg/ml propidium iodide (PI) solution (Sigma). GFP was excited with the 488 nm laser line of an argon laser, whereas PI was excited with the 514 nm laser line. The resulting images were acquired using the multi-channel mode. For GFP analysis of whole seedlings, a Lumar V.12 stereoscopic microscope with a GFP filter (Zeiss) was used.
Insect herbivory bioassays in transgenic tobacco
The herbivory assays in transgenic OE tobacco plants were performed in 8-weeks-old plants having 10–14 expanded leaves. Groups of six plants comprising WT and 3 T2 transgenic OE lines, respectively, were challenged with two 2nd or 3rd instar M. sexta larvae per plant, specifically in leaves 7 and 8. The experiments were performed in a conditioned growth chamber maintained as described above. M. sexta larvae fed on the plants for 3 days. Resistance to insect herbivory was measured as a reduction in larval body weight gain, a commonly used parameter to measure antifeedant effects in plants, by deducting the initial body weight from the final body weight of each larva. Damaged leaves (“local” response; leaves 7 and 8) and distal, undamaged leaves (“systemic” response; leaves 11–14) from two plants were pooled into three groups for analysis. Data collected from two independent experiments yielded similar results. Thus, only data from a representative experiment were reported.
Measurement of defense-related parameters in transgenic tobacco subjected to insect herbivory
Trypsin inhibitor levels of activity were determined according to a reported method (Erlanger et al., 1961). The technique was adapted to fit a microplate format. Activity was expressed as units of inhibitory activity per mg of protein. Protein was determined according to the Bradford method (Bradford, 1976) employing a commercial kit (Bio-Rad). Nicotine levels were determined by GC/MS as described previously (Hossain and Salehuddin, 2013). JA levels were also determined by GC/MS using previously reported methodologies for extraction (Pluskota et al., 2007) and derivatization prior to GC/MS analysis (Mueller and Brodschelm, 1994). A full spectrum of ionizable metabolites were also measured using direct injection electron spray ionization mass spectrometry (DIESI-MS) according to previous reports (García-Flores et al., 2012; Montero-Vargas et al., 2013), following optimized protocols in data acquisition and bioinformatic data processing (Garcia-Flores et al., unpublished data). Briefly, finely sieved (300 μm particle size mesh) lyophilized leaf powder was extracted with acidified HPLC grade methanol at 25°C for 2 h with constant agitation. Filtered extracts (0.45 μm) were injected to a SQ2 quadrupole mass spectrometer (Waters Corp., Milford, MA, USA). Ions were measured both in negative and positive ion mode for a period of 60 s each and intensity data was averaged and then analyzed according to Garcia-Flores et al. (unpublished data). The raw MS spectra files were converted to *.mzXML using masswolf V 1.4. Analysis of mass spectra was performed with the OpenMS/TOPP suite, version 1.8.0 and further processed with the free statistical R software (http://www.r-project.org).
Microarray analysis
Microarray analysis were performed at the Microarray Unit of the Cellular Physiology Institute of the National Autonomous University of Mexico (UNAM). The analysis was performed with rosette leaves of 4-to-5-week-old WT and transgenic Ah24 OE Arabidopsis plants. For array printing, an A. thaliana 70-mer oligo library from OPERON Oligo Sets (http://omad.operon.com/) was re-suspended to a final concentration of 40 μM in Micro Spotting solution (TeleChem International Inc., Sunnyvale, CA, USA). SuperAmine coated slides 25 × 75 mm (TeleChem International Inc.) were printed in single copy, and fixed at 80°C for 4 h. For pre-hybridization the slides were rehydrated with water vapor at 60°C, and fixed with two cycles of UV light (1200 J). After boiling for 2 min at 92°C, slides were washed with 95% ethanol for 1 min and pre-hybridzed in 5 × SSC, 0.1% SDS and 1% BSA for 1 h at 42°C. The slides were washed and dried for further hybridization. The printing geometry employed was amenable to the GEO platform, consisting of grid “X” and “Y” coordinates in slide of 7 and 5.5 mm, dot spacing “Y” 170 microns, dot spacing “X” 170 microns, number of dots per grid “X” and “Y” 25, distance between grids “X” and “Y” 150 microns, and number of grids 48. For probe preparation and hybridization to arrays, 10 μg of total RNA were used for a cDNA synthesis procedure that incorporated either dUTP-Alexa555 or dUTP-Alexa647. This was performed employing the First-Strand cDNA labeling kit (Invitrogen). Incorporation of the fluorophore was analyzed at 555 and 650 nm for Alexa555 and Alexa647, respectively. Equal quantities of labeled cDNA were hybridized using UniHyb hybridization solution (TeleChem International Inc.). The arrays were incubated for 14 h at 42°C, and then washed tree times with 1 × SCC, 0.05% SDS at room temperature. Data acquisition and quantification of array images was performed in ScanArray 4000 with its accompanying software ScanArray 4000 from Packard BioChips (Packard Biochip Technologies, LLC, Billerica, MA, USA). All images were captured using 65% PMT gain, 70–75% laser power and 10 μm resolution at 50% scan rate. For each spot the Cy3 and Cy5 density mean value and the Cy3 and Cy5 background mean value were calculated with an ArrayPro Analyzer software (Media Cybernetics, Rockville, MD, USA). Microarray data analysis was performed with the free software genArise, developed in the Computing Unit of the Cellular Physiology Institute at UNAM (http://www.ifc.unam.mx/genarise/). GenArise performs a number of transformations: background correction, lowess normalization, intensity filter, replicates analysis, and selection of differentially expressed genes. GenArise is designed to identify which of the genes show strong evidence of being differentially expressed. The software identifies differential expressed genes by calculating an intensity-dependent z-score. This is done using a sliding window algorithm to calculate the mean and standard deviation within a window surrounding each data point, in order to define a z-score where z measures the number of standard deviations a data point is from the mean.
Where zi is the z-score for each element, Ri is the log-ratio for each element, and sd(R) is the standard deviation of the log-ratio. With this criterion, only the elements with an absolute Z-score greater than 2 were considered differentially expressed (Z-score > 2; Cheadle et al., 2003). The elements with a z-score > 2 standard deviations can be considered to be significantly differentially expressed genes.
The GO-term enrichment analysis was done through the PlantGSEA (Yi et al., 2013) platform, using exclusively the differentially expressed genes and the whole Arabidopsis genome as background. Enriched GO terms were selected based on a multiple test corrected (MTC) P-value (Bonferroni pval) < 0.05.
Microarray data was deposited as GEO accession GSE70272.
Statistical analysis
All statistical analyses of the physiological and biochemical data were done using JMP8 at the α = 0.05 level (SAS Institute Inc., Cary, NC). Data were analyzed using an ANOVA. A Tukey test was performed with each ANOVA. In all figures, mean values and vertical bars representing standard errors (SE) are shown.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
This work was largely supported financially by the European Commission 6th Framework Programme, AMARANTH: FUTURE FOOD, Contract No. 032263. Financial support by México Tierra de Amaranto A. C. and The Deborah Presser-Velder Foundation is also acknowledged. JM and PAP were supported by postgraduate scholarships (Codes No. 234771 and 232807, respectively) granted by The National Council for Science and Technology (CONACyT, México). We thank Dr. Jorge Molina Torres for his valuable comments and help during the GC/MS quantification of nicotine and JA.
Supplementary material
The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fpls.2015.00602
References
- Aguilar-Hernández H. S., Santos L., León-Galván F., Barrera-Pacheco A., Espitia-Rangel E., De León-Rodríguez A., et al. (2011). Identification of calcium stress induced genes in amaranth leaves through suppression subtractive hybridization. J. Plant Physiol. 168, 2102–2109. 10.1016/j.jplph.2011.06.006 [DOI] [PubMed] [Google Scholar]
- Ambrose C., Wasteneys G. O. (2014). Microtubule initiation from the nuclear surface controls cortical microtubule growth polarity and orientation in Arabidopsis thaliana. Plant Cell Physiol. 55, 1636–1645. 10.1093/pcp/pcu094 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ariizumi T., Lawrence P. K., Steber C. M. (2011). The role of two F-Box proteins, SLEEPY1 and SNEEZY, in Arabidopsis gibberellin signaling. Plant Physiol. 155, 765–775. 10.1104/pp.110.166272 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Avilés-Arnaut H., Délano-Frier J. P. (2012). Characterization of the tomato prosystemin promoter: organ-specific expression, hormone specificity and methyl jasmonate responsiveness by deletion analysis in transgenic tobacco plants. J. Integr. Plant Biol. 54, 15–32. 10.1111/j.1744-7909.2011.01084.x [DOI] [PubMed] [Google Scholar]
- Bao F., Azhakanandam S., Franks R. G. (2010). SEUSS and SEUSS-LIKE transcriptional adaptors regulate floral and embryonic development in Arabidopsis. Plant Physiol. 152, 821–836. 10.1104/pp.109.146183 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barah P., Winge P., Kusnierczyk A., Tran D. H., Bones A. M. (2013). Molecular signatures in Arabidopsis thaliana in response to insect attack and bacterial infection. PLoS ONE 8:e58987. 10.1371/journal.pone.0058987 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blom N., Sicheritz-Pontén T., Gupta R., Gammeltoft S., Brunak S. (2004). Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence. Proteomics 4, 1633–1649. 10.1002/pmic.200300771 [DOI] [PubMed] [Google Scholar]
- Bradford M. (1976). A rapid and sensitive method for the determination of microgram quantities of protein utilizing the principle of protein dye-binding. Anal. Biochem. 72, 248–252. 10.1016/0003-2697(76)90527-3 [DOI] [PubMed] [Google Scholar]
- Brenner D., Baltensperger D., Kulakow P., Lehmann J., Myers R., Slabbert M., et al. (2000). Genetic resources and breeding of Amaranthus. Plant Breed. Rev. 19, 227–285. 10.1002/9780470650172.ch7 [DOI] [Google Scholar]
- Casarrubias-Castillo K., Martínez-Gallardo N. A., Délano-Frier J. P. (2014). Treatment of Amaranthus cruentus with chemical and biological inducers of resistance has contrasting effects on fitness and protection against compatible Gram positive and Gram negative bacterial pathogens. J. Plant Physiol. 171, 927–939. 10.1016/j.jplph.2014.02.004 [DOI] [PubMed] [Google Scholar]
- Casique-Arroyo G., Martínez-Gallardo N., González de la Vara L., Délano-Frier J. P. (2014). Betacyanin biosynthetic genes and enzymes are differentially induced by (a)biotic stress in Amaranthus hypochondriacus. PLoS ONE 9:e99012. 10.1371/journal.pone.0099012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castrillón-Arbeláez P. A., Martínez-Gallardo N., Avilés-Arnaut H., Tiessen A., Délano-Frier J. P. (2012). Metabolic and enzymatic changes associated with carbon mobilization, utilization and replenishment triggered in grain amaranth (Amaranthus cruentus) in response to partial defoliation by mechanical injury or insect herbivory. BMC Plant Biol. 12:163. 10.1186/1471-2229-12-163 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Che P., Bussell J. D., Zhou W., Estavillo G. M., Pogson B. J., Smith S. M. (2010). Signaling from the endoplasmic reticulum activates brassinosteroid signaling and promotes acclimation to stress in Arabidopsis. Sci. Signal. 3, ra69. 10.1126/scisignal.2001140 [DOI] [PubMed] [Google Scholar]
- Cheadle C., Vawter M. P., Freed W. J., Becker K. G. (2003). Analysis of microarray data using Z score transformation. J. Mol. Diagn. 5, 73–81. 10.1016/S1525-1578(10)60455-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clough S. J., Bent A. F. (1998). Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 16, 735–743. 10.1046/j.1365-313x.1998.00343.x [DOI] [PubMed] [Google Scholar]
- Conde A., Chaves M. M., Gerós H. (2011). Membrane transport, sensing and signaling in plant adaptation to environmental stress. Plant Cell Physiol. 52, 1583–1602. 10.1093/pcp/pcr107 [DOI] [PubMed] [Google Scholar]
- Curaba J., Singh M. B., Bhalla P. L. (2014). miRNAs in the crosstalk between phytohormone signaling pathways. J. Exp. Bot. 65, 1425–1438. 10.1093/jxb/eru002 [DOI] [PubMed] [Google Scholar]
- Cutcliffe J. W., Hellmann E., Heyl A., Rashotte A. M. (2011). CRFs form protein–protein interactions with each other and with members of the cytokinin signalling pathway in Arabidopsis via the CRF domain. J. Exp. Bot. 62, 4995–5002. 10.1093/jxb/err199 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dassanayake M., Haas J. S., Bohnert H. J., Cheeseman J. M. (2009). Shedding light on an extremophile lifestyle through transcriptomics. New Phytol. 183, 764–775. 10.1111/j.1469-8137.2009.02913.x [DOI] [PubMed] [Google Scholar]
- Dassanayake M., Oh D. H., Haas J. S., Hernandez A., Hong H., Ali S., et al. (2011). The genome of the extremophile crucifer Thellungiella parvula. Nat. Genet. 43, 913–918. 10.1038/ng.889 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Délano-Frier J. P., Avilés-Arnaut H., Casarrubias-Castillo K., Casique-Arroyo G., Castrillón-Arbeláez P. A., Herrera-Estrella L., et al. (2011). Transcriptomic analysis of grain amaranth (Amaranthus hypochondriacus) using 454 pyrosequencing: comparison with A. tuberculatus, expression profiling in stems and in response to biotic and abiotic stress. BMC Genomics 12:363. 10.1186/1471-2164-12-363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Délano-Frier J. P., Martínez-Gallardo N. A., Martínez-de la Vega O., Salas-Araiza M. D., Barbosa-Jaramillo E. R., Torres A., et al. (2004). The effect of exogenous jasmonic acid on induced resistance and productivity in amaranth (Amaranthus hypochondriacus) is influenced by environmental conditions. J. Chem. Ecol. 30, 1001–1034. 10.1023/B:JOEC.0000028464.36353.bb [DOI] [PubMed] [Google Scholar]
- Erlanger B., Kokowsky N., Cohen W. (1961). The preparation and properties of two new chromogenic substrates of trypsin. Arch. Biochem. Biophys. 95, 271–278. 10.1016/0003-9861(61)90145-X [DOI] [PubMed] [Google Scholar]
- Fan P., Nie L., Jiang P., Feng J., Lv S., Chen X., et al. (2013). Transcriptome analysis of Salicornia europaea under saline conditions revealed the adaptive primary metabolic pathways as early events to facilitate salt adaptation. PLoS ONE 8:e80595. 10.1371/journal.pone.0080595 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Flowers T. J., Colmer T. D. (2008). Salinity tolerance in halophytes. New Phytol. 179, 945–963. 10.1111/j.1469-8137.2008.02531.x [DOI] [PubMed] [Google Scholar]
- Fomsgaard I., Añon M., Barba de la Rosa A., Christophersen C., Dusek K., Délano-Frier J., et al. (2010). Adding Value to Holy Grain: Providing the Key Tools for the Exploitation of Amaranth - the Protein-Rich Grain of the Aztecs. Results from a Joint European - Latin American Research Project. Denmark: Department of Integrated Pest Management, Aarhus University, Faculty of Agricultural Sciences. [Google Scholar]
- Fürstenberg-Hägg J., Zagrobelny M., Bak S. (2013). Plant defense against insect herbivores. Int. J. Mol. Sci. 14, 10242–10297. 10.3390/ijms140510242 [DOI] [PMC free article] [PubMed] [Google Scholar]
- García-Flores M., Juárez-Colunga S., Montero-Vargas J. M., LÓpez-Arciniega J. A. I., Chagolla A., Tiessen A., et al. (2012). Evaluating the physiological state of maize (Zea mays L.) plants by direct-injection electrospray mass spectrometry (DIESI-MS). Mol. Biosyst. 8, 1658–1660. 10.1039/c2mb25056j [DOI] [PubMed] [Google Scholar]
- Giacomini D., Westra P., Ward S. M. (2014). Impact of genetic background in fitness cost studies: an example from glyphosate-resistant Palmer amaranth. Weed Sci. 62, 29–37. 10.1614/WS-D-13-00066.1 [DOI] [Google Scholar]
- Grobelnik-Mlakar S., Bavec M., Jakop M., Bavec F. (2012). The effect of drought occurring at different growth stages on productivity of grain amaranth Amaranthus cruentus. G6. J. Life Sci. 6, 283–286. [Google Scholar]
- Großkinsky D. K., van der Graaff E., Roitsch T. (2012). Phytoalexin transgenics in crop protection-Fairy tale with a happy end? Plant Sci. 195, 54–70. 10.1016/j.plantsci.2012.06.008 [DOI] [PubMed] [Google Scholar]
- Halitschke R., Baldwin I. T. (2003). Antisense LOX expression increases herbivore performance by decreasing defense responses and inhibiting growth-related transcriptional reorganization in Nicotiana attenuata. Plant J. 36, 794–807. 10.1046/j.1365-313X.2003.01921.x [DOI] [PubMed] [Google Scholar]
- Harmer S. L., Kay S. A. (2005). Positive and negative factors confer phase-specific circadian regulation of transcription in Arabidopsis. Plant Cell 17, 1926–1940. 10.1105/tpc.105.033035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hossain A. M., Salehuddin S. M. (2013). Analytical determination of nicotine in tobacco leaves by gas chromatography-mass spectrometry. Arab. J. Chem. 6, 275–278. 10.1016/j.arabjc.2010.10.006 [DOI] [Google Scholar]
- Huerta-Ocampo J. A., Barrera-Pacheco A., Mendoza-Hernández C. S., Espitia-Rangel E., Mock H. P., Barba de la Rosa A. P. (2014). Salt stress-induced alterations in the root proteome of Amaranthus cruentus L. J. Proteome Res. 13, 3607–3627. 10.1021/pr500153m [DOI] [PubMed] [Google Scholar]
- Huerta-Ocampo J. A., Briones-Cerecero E. P., Mendoza-Hernandez G., De Leon-Rodriguez A., Barba de la Rosa A. P. (2009). Proteomic analysis of amaranth (Amaranthus hypochondriacus L.) leaves under drought stress. Int. J. Plant Sci. 170, 990–998. 10.1086/605119 [DOI] [Google Scholar]
- Huerta-Ocampo J. A., LeÓn-Galván M. F., Ortega-Cruz L. B., Barrera-Pacheco A., De León-Rodríguez A., Mendoza-Hernández G., et al. (2011). Water stress induces up-regulation of DOF1 and MIF1 transcription factors and down-regulation of proteins involved in secondary metabolism in amaranth roots (Amaranthus hypochondriacus L.). Plant Biol. 13, 472–482. 10.1111/j.1438-8677.2010.00391.x [DOI] [PubMed] [Google Scholar]
- Jassbi A. R., Gase K., Hettenhausen C., Schmidt A., Baldwin I. T. (2008). Silencing geranylgeranyl diphosphate synthase in Nicotiana attenuata dramatically impairs resistance to tobacco hornworm. Plant Physiol. 146, 974–986. 10.1104/pp.107.108811 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson B. L., Henderson T. L. (2002). Water use patterns of grain amaranth in the northern Great Plains. Agron. J. 94, 1437–1443. 10.2134/agronj2002.1437 [DOI] [Google Scholar]
- Jones-Rhoades M. W., Bartel D. P. (2004). Computational identification of plant microRNAs and their targets, including a stress-induced miRNA. Mol. Cell 14, 787–799. 10.1016/j.molcel.2004.05.027 [DOI] [PubMed] [Google Scholar]
- Kachout S. S., Mansoura A. B., Leclerc J. C., Mechergui R., Rejeb M. N., Ouerghi Z. (2010). Effects of heavy metals on antioxidant activities of: Atriplex hortensis and A. rosea. Electron. J. Environ. Agric. Food Chem. 9, 444–457. [Google Scholar]
- Kalinina E. B., Keith B. K., Kern A. J., Dyer W. E. (2012). Salt- and osmotic stress-induced choline monooxygenase expression in Kochia scoparia is ABA-independent. Biol. Plant. 56, 699–704. 10.1007/s10535-012-0132-0 [DOI] [Google Scholar]
- Li J., Wang S., Liu X., Li X. L., Guo J. (1989). An observation of the root system growth of grain amaranth and its drought resistance. Agric. Res. Arid Areas 3, 34–41. [Google Scholar]
- Liao P., Wang H., Wang M., Hsiao A. S., Bach T. J., Chye M. L. (2014). Transgenic tobacco overexpressing Brassica juncea HMG-CoA Synthase 1 shows increased plant growth, pod size and seed yield. PLoS ONE 9:e98264. 10.1371/journal.pone.0098264 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu C., Lu F., Cui X., Cao X. (2010). Histone methylation in higher plants. Ann. Rev. Plant Biol. 61, 395–420. 10.1146/annurev.arplant.043008.091939 [DOI] [PubMed] [Google Scholar]
- Liu Z., Persson S., Sánchez-Rodríguez C. (2015). At the border: the plasma membrane–cell wall continuum. J. Exp. Bot. 66, 1553–1563. 10.1093/jxb/erv019 [DOI] [PubMed] [Google Scholar]
- Livak K. J., Schmittgen T. D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCt method. Methods 25, 402–408. 10.1006/meth.2001.1262 [DOI] [PubMed] [Google Scholar]
- Lou Y., Baldwin I. T. (2003). Manduca sexta recognition and resistance among allopolyploid Nicotiana host plants. Proc. Natl. Acad. Sci. U.S.A. 100, 14581–14586. 10.1073/pnas.2135348100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ma J., Zhang M., Xiao X., You J., Wang J., Wang T., et al. (2013). Global transcriptome profiling of Salicornia europaea L. shoots under NaCl Treatment. PLoS ONE 8:e65877. 10.1371/journal.pone.0065877 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Massange-Sánchez J. A. (2011). Análisis de la Expresión y Caracterización Molecular del Gen Ah24 Inducido por Daño Mecánico, Herbivoría y Adición Exógena de MeJA en Plantas de Amaranthus Hypochondriacus. M.Sc. dissertation, Centro de investigación y de Estudios Avanzados del IPN, Unidad Irapuato. [Google Scholar]
- Matsushita A., Furumoto T., Ishida S., Takahashi Y. (2007). AGF1, an AT-Hook protein, is necessary for the negative feedback of AtGA3ox1 encoding GA 3-Oxidase1. Plant Physiol. 143, 1152–1162. 10.1104/pp.106.093542 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Memelink J. (2009). Regulation of gene expression by jasmonate hormones. Phytochemistry 70, 1560–1570. 10.1016/j.phytochem.2009.09.004 [DOI] [PubMed] [Google Scholar]
- Miller T. E., Wing J. S., Huete A. R. (1984). The agricultural potential of selected C4 plants in arid environments. J. Arid Environ. 7, 275–286. [Google Scholar]
- Mithöfer A., Boland W. (2012). Plant defense against herbivores: chemical aspects. Annu. Rev. Plant Biol. 63, 431–450. 10.1146/annurev-arplant-042110-103854 [DOI] [PubMed] [Google Scholar]
- Mithran M., Paparelli E., Novi G., Perata P., Loreti E. (2013). Analysis of the role of the pyruvate decarboxylase gene family in Arabidopsis thaliana under low-oxygen conditions. Plant Biol. (Stuttg) 16, 28–34. 10.1111/plb.12005 [DOI] [PubMed] [Google Scholar]
- Montero-Vargas J. M., González-González L. H., Gálvez-Ponce E., Ramírez-Chávez E., Molina-Torres J., Chagolla A., et al. (2013). Metabolic phenotyping for the classification of coffee trees and the exploration of selection markers. Mol. Biosyst. 9, 693–699. 10.1039/c3mb25509c [DOI] [PubMed] [Google Scholar]
- Mueller M. J., Brodschelm W. (1994). Quantification of jasmonic acid by capillary gas chromatography-negative chemical-ionization mass-spectrometry. Anal. Biochem. 218, 425–435. 10.1006/abio.1994.1202 [DOI] [PubMed] [Google Scholar]
- Murashige T., Skoog F. (1962). A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiol. Plant. 15, 473–497. 10.1111/j.1399-3054.1962.tb08052.x [DOI] [Google Scholar]
- Murray M. G., Thompson W. F. (1980). Rapid isolation of high molecular-weight plant DNA. Nucleic Acids Res. 8, 4321–4325. 10.1093/nar/8.19.4321 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mythili J. B., Saiprasad G. V., Naveena C., Rajeev P. R., Upreti K. K. (2011). Differential response of tomato and tobacco to Agrobacterium mediated transformation with cytokinin independent-1 (CKI-1) gene as influenced by cytokinin levels. Indian J. Exp. Bot. 49, 901–918. [PubMed] [Google Scholar]
- Navarro-Meléndez A. L. (2009). Análisis Proteómico del Amaranto, Sometido a Herbivoría (Spodoptera exigua) y/o Evocadores Relacionados con la Resistencia a Insectos, MeJA. M.Sc. dissertation, Centro de investigación y de Estudios Avanzados del IPN, Unidad Irapuato. [Google Scholar]
- Ng M., Yanofsky M. F. (2001). Function and evolution of the plant MADS-box gene family. Nat. Rev. Genet. 2, 186–195. 10.1038/35056041 [DOI] [PubMed] [Google Scholar]
- Niveyro S., Salvo A. (2014). Taxonomic and functional structure of phytophagous insect communities associated with grain amaranth. Neotrop. Entomol. 43, 532–540. 10.1007/s13744-014-0248-3 [DOI] [PubMed] [Google Scholar]
- Nugroho L. H., Verpoorte R. (2002). Secondary metabolism in tobacco. Plant Cell Tiss. Org. 68, 105–125. 10.1023/A:1013853909494 [DOI] [Google Scholar]
- Oh D. H., Dassanayake M., Bohnert H. J., Cheeseman J. M. (2012). Life at the extreme: lessons from the genome. Genome Biol. 13, 241. 10.1186/gb4003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Omami E. N., Hammes P. S., Robbertse P. J. (2006). Differences in salinity tolerance for growth and water−use efficiency in some amaranth (Amaranthus spp.) genotypes. NZ. J. Crop Hort. Sci. 34, 11–22. 10.1080/01140671.2006.9514382 [DOI] [Google Scholar]
- Orians C. (2005). Herbivores, vascular pathways, and systemic induction: facts and artifacts. J. Chem. Ecol. 31, 2231–2242. 10.1007/s10886-005-7099-7 [DOI] [PubMed] [Google Scholar]
- Pathak M. R., Teixeira da Silva J. A., Wani S. H. (2014). Polyamines in response to abiotic stress tolerance through transgenic approaches. GM Crops Food 5, 87–96. 10.4161/gmcr.28774 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pluskota W. E., Qu N., Maitrejean M., Boland W., Baldwin I. T. (2007). Jasmonates and its mimics differentially elicit systemic defence responses in Nicotiana attenuata. J. Exp. Bot. 58, 4071–4082. 10.1093/jxb/erm263 [DOI] [PubMed] [Google Scholar]
- Prelich G. (2012). Gene overexpression: uses, mechanisms, and interpretation. Genetics 190, 841–854. 10.1534/genetics.111.136911 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rodrigues S. M., Andrade M. O., Gomes A. P., Damatta F. M., Baracat-Pereira M. C., Fontes E. P. (2006). Arabidopsis and tobacco plants ectopically expressing the soybean antiquitin-like ALDH7 gene display enhanced tolerance to drought, salinity, and oxidative stress. J. Exp. Bot. 57, 1909–1918. 10.1093/jxb/erj132 [DOI] [PubMed] [Google Scholar]
- Sánchez-Hernandez C., Martinez-Gallardo N., Guerrero-Rangel A., Valdes-Rodriguez S., Delano-Frier J. (2004). Trypsin and alpha-amylase inhibitors are differentially induced in leaves of amaranth (Amaranthus hypochondriacus) in response to biotic and abiotic stress. Physiol Plant. 122, 254–264. 10.1111/j.0031-9317.2004.00398.x [DOI] [Google Scholar]
- Schittko U., Baldwin I. T. (2003). Constraints to herbivore-induced systemic responses: bidirectional signaling along orthostichies in Nicotiana attenuata. J. Chem. Ecol. 29, 763–770. 10.1023/A:1022833022672 [DOI] [PubMed] [Google Scholar]
- Schommer C., Palatnik J. F., Aggarwal P., Chételat A., Cubas P., Farmer E. E., et al. (2008). Control of jasmonate biosynthesis and senescence by miR319 targets. PLoS Biol. 6:e230. 10.1371/journal.pbio.0060230 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schwechheimer C., Willige B. C., Zourelidou M., Dohmann E. M. N. (2009). Examining protein stability and its relevance for plant growth and development. Methods Mol. Biol. 479, 147–171. 10.1007/978-1-59745-289-2_10 [DOI] [PubMed] [Google Scholar]
- Siré C., Moreno A. B., Garcia-Chapa M., López-Moya J. J., San Segundo B. (2009). Diurnal oscillation in the accumulation of Arabidopsis microRNAs, miR167, miR168, miR171 and miR398. FEBS Lett. 583, 1039–1044. 10.1016/j.febslet.2009.02.024 [DOI] [PubMed] [Google Scholar]
- Soltis P. S., Soltis D. E., Chase M. W. (1999). Angiosperm phylogeny inferred from multiple genes as a tool for comparative biology. Nature 402, 402–404. 10.1038/46528 [DOI] [PubMed] [Google Scholar]
- Stallknecht G. F., Schulz-Schaeffer J. R. (1993). Amaranth rediscovered, in New Crops, eds Janick J., Simon J. E. (New York, NY: Wiley; ), 211–218. [Google Scholar]
- Steppuhn A., Baldwin I. T. (2007). Resistance management in a native plant: nicotine prevents herbivores from compensating for plant protease inhibitors. Ecol. Lett. 10, 499–511. 10.1111/j.1461-0248.2007.01045.x [DOI] [PubMed] [Google Scholar]
- Steppuhn A., Gase K., Kroch B., Halitschke R., Baldwin I. T. (2004). Nicotine's defensive function in nature. PLoS Biol. 2:E217. 10.1371/journal.pbio.0020217 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stoppin V., Vantard M., Schmit A. C., Lambert A. M. (1994). Isolated plant nuclei nucleate microtubule assembly-the nuclear surface in higher-plants has centrosome-like activity. Plant Cell 6, 1099–1106. 10.1105/tpc.6.8.1099 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Takada S., Iida H. (2014). Specification of epidermal cell fate in plant shoots. Front. Plant Sci. 5:49. 10.3389/fpls.2014.00049 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tamura K., Peterson D., Peterson N., Stecher G., Nei M., Kumar S. (2011). MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol. Biol. Evol. 28, 2731–2739. 10.1093/molbev/msr121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tanveer A., Khaliq A., Siddiqui M. H. (2013). A review on genus Alternanthera weeds implications. Pak. J. Weed Sci. Res. 19, 53–58. [Google Scholar]
- Turner M., Nizampatnam N. R., Baron M., Coppin S., Damodaran S., Adhikari S., et al. (2013). Ectopic expression of miR160 results in auxin hypersensitivity, cytokinin hyposensitivity, and inhibition of symbiotic nodule development in soybean. Plant Physiol. 162, 2042–2055. 10.1104/pp.113.220699 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valenzuela-Soto J. H., Iruegas-Bocardo F., Martínez-Gallardo N. A., Molina-Torres J., Gómez-Lim M. A., Délano-Frier J. P. (2011). Transformed tobacco (Nicotiana tabacum) plants over-expressing a peroxisome proliferator-activated receptor gene from Xenopus laevis (xPPARa) show increased susceptibility to infection by virulent Pseudomonas syringae pathogens. Planta 233, 507–521. 10.1007/s00425-010-1314-7 [DOI] [PubMed] [Google Scholar]
- Vargas-Ortiz E., Délano-Frier J. P., Tiessen A. (2015). The tolerance of grain amaranth (Amaranthus cruentus L.) to defoliation during vegetative growth is compromised during flowering. Plant Physiol. Biochem. 91, 36–40. 10.1016/j.plaphy.2015.03.007 [DOI] [PubMed] [Google Scholar]
- Vargas-Ortiz E., Espitia-Rangel E., Tiessen A., Délano-Frier J. P. (2013). Grain amaranths are defoliation tolerant crop species capable of utilizing stem and root carbohydrate reserves to sustain vegetative and reproductive growth after leaf loss. PLoS ONE 8:e67879. 10.1371/journal.pone.0067879 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Venskutonis P. R., Kraujalis P. (2013). Nutritional components of amaranth seeds and vegetables: a review on composition, properties, and uses. Compr. Rev. Food Sci. Food Saf. 12, 381–412. 10.1111/1541-4337.12021 [DOI] [PubMed] [Google Scholar]
- Venu R. C., Sreereka M. V., Sheshu-Madhav M., Nobuta K., Madhan-Mohan K., Chen S., et al. (2013). Deep transcriptome sequencing reveals the expression of key functional and regulatory genes involved in the abiotic stress signaling pathways in rice. J. Plant Biol. 56, 216–231. 10.1007/s12374-013-0075-9 [DOI] [Google Scholar]
- Voelker T., Sturm A., Chrispeels M. J. (1987). Differences in expression between two seed lectin alleles obtained from normal and lectin-deficient beans are maintained in transgenic tobacco. EMBO J. 6, 3571–3577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watson J. M., Riha K. (2010). Comparative biology of telomeres: where plants stand. FEBS Lett. 584, 3752–3759. 10.1016/j.febslet.2010.06.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yi X., Du Z., Su Z. (2013). PlantGSEA: a gene set enrichment analysis toolkit for plant community. Nucleic Acids Res. 41, W98–W103. 10.1093/nar/gkt281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ying S., Zhang D. F., Fu J., Shi Y. S., Song Y. C., Wang T. Y., et al. (2012). Cloning and characterization of a maize bZIP transcription factor, ZmbZIP72, confers drought and salt tolerance in transgenic Arabidopsis. Planta 235, 253–266. 10.1007/s00425-011-1496-7 [DOI] [PubMed] [Google Scholar]
- Zavala J. A., Patankar A. G., Gase K., Hui D., Baldwin I. T. (2004). Manipulation of endogenous trypsin proteinase inhibitor production in Nicotiana attenuata demonstrates their function as antiherbivore defenses. Plant Physiol. 134, 1181–1190. 10.1104/pp.103.035634 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang Y., Zhang B., Yan D., Dong W., Yang W., Li Q., et al. (2011). Two Arabidopsis cytochrome P450 monooxygenases, CYP714A1 and CYP714A2, function redundantly in plant development through gibberellin deactivation. Plant J. 67, 342–353. 10.1111/j.1365-313X.2011.04596.x [DOI] [PubMed] [Google Scholar]
- Zhou D. X. (1999). Regulatory mechanism of plant gene transcription by GT-elements and GT-factors. Trends Plant Sci. 4, 210–214. 10.1016/S1360-1385(99)01418-1 [DOI] [PubMed] [Google Scholar]
- Zhou J., Wang B., Li Y., Wang Y., Zhu L. (2007). Responses of chrysanthemum cells to mechanical stimulation require intact microtubules and plasma membrane-cell wall adhesion. J. Plant Growth Regul. 26, 55–68. 10.1007/s00344-006-0029-2 [DOI] [Google Scholar]
- Zhu C., Ding Y., Liu H. (2011). MiR398 and plant stress responses. Physiol. Plant. 143, 1–9. 10.1111/j.1399-3054.2011.01477.x [DOI] [PubMed] [Google Scholar]
- Zhu Y., Nomura T., Xu Y., Zhang Y., Peng Y., Mao B., et al. (2006). ELONGATED UPPERMOST INTERNODE encodes a cytochrome P450 monooxygenase that epoxidizes gibberellins in a novel deactivation reaction in rice. Plant Cell 18, 442–456. 10.1105/tpc.105.038455 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.